Function reference • manydata

Calling ‘many’ packages

These functions assist data analysts with the download of ‘many’ packages and their data

call_packages(): Call, download, and update many packages

call_releases(): Call releases historical milestones/releases

call_sources(): Call sources for datacubes and datasets in 'many' packages

call_treaties(): Call treaties from 'many' datasets

Comparing ‘many’ packages data

These functions assist data analysts with the visualisation of data on particular domains of global governance

compare_categories(): Compare categories in 'many' datacubes

compare_dimensions(): Compare dimensions for 'many' data

compare_missing(): Compare missing observations for 'many' data

compare_overlap(): Compare the overlap between datasets in 'many' datacubes

compare_ranges(): Compare ranges of variables in 'many' data

Consolidating ‘many’ packages data

These functions assist data analysts with the analysis of data on particular domains of global governance

consolidate(): Consolidate datacube into a single dataset

reexports pluck: Selects a single dataset from a datacube

favour() favor(): Favour datasets in a datacube

Data wrangling with manydata

Ensembled data adds special challenges to data wrangling. These functions assist analysts with wrangling such data

transmutate(): Drop only columns used in formula

recollect(): Pastes unique string vectors

reunite(): Pastes unique string vectors

repaint(): Fills missing data by lookup

coalesce_rows(): Get first non-missing

emperors: Emperors datacube documentation